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LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
To build high-quality real-world conversational solutions for edge devices, there is a need for deploying intent detection model on device.
Ranked #1 on
Intent Detection
on SNIPS
(model size metric)
A character representation enhanced on-device Intent Classification
Our experiments prove that our proposed model outperforms existing approaches and achieves state-of-the-art results on benchmark datasets.
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